Abstract

We address the accuracy of wideband direct position estimation of a radio transmitter via a distributed antenna array in 5G cellular systems. Our derivations are based only on the presence of spatially coherent line-of-sight (LoS) signal components, which is a realistic assumption in small cells, especially in the mmWave range. The system model considers collocated time and phase synchronized receiving front-ends with antennas distributed in 3D space at known locations and connected to the front-ends via calibrated coaxial cables or analog radio-frequency-over-fiber links. Furthermore, the signal model assumes spherical wavefronts. We derive the Cramér-Rao bounds (CRBs) for two implementations of the system: with (a) known signals and (b) random Gaussian signals. The results show how the bounds depend on the carrier frequency, number of samples used for estimation, and signal-to-noise ratios. They also show that increasing the number of antennas (such as in massive MIMO systems) considerably improves the accuracy and lowers the signal-to-noise threshold for localization even for non-cooperative transmitters. Finally, our derivations show that the square roots of the bounds are two to three orders of magnitude below the carrier wavelength for realistic system parameters.

Highlights

  • There has been a growing interest in massive multiple-input multiple-output (MIMO) systems [1] and millimeter-wave communication technology [2,3,4,5,6,7]

  • The results show the advantage of using millimeter-wave communication (mmWave) massive MIMO systems because the localization can successfully be performed in low signal-to-noise ratio (SNR) conditions, even for unknown sequences

  • We have addressed the performance limits of direct wideband coherent 3D localization in distributed mmWave massive MIMO for 5th generation (5G) cellular systems

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Summary

Introduction

There has been a growing interest in massive multiple-input multiple-output (MIMO) systems [1] and millimeter-wave communication (mmWave) technology [2,3,4,5,6,7]. These systems are already finding their place in future 5th generation (5G) cellular systems. A very important application of 5G systems is indoor localization and tracking [8] Their key objective is to achieve a localization accuracy of about 1 cm [9], which is satisfactory for location-based services in cellular systems. We addressed two implementations of the system: (a) with deterministic sequences known to the receiver system and (b) with random Gaussian sequences

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